Internet search and content material retrieval have quietly grow to be essentially the most vital infrastructure choices in AI agent growth. An agent with out dependable entry to dwell internet information is successfully working on stale data — a tough limitation for any manufacturing deployment dealing with analysis, lead enrichment, aggressive intelligence, or real-time monitoring. In 2026, the ecosystem of search and fetch APIs has matured significantly, with purpose-built instruments changing the older sample of wrapping uncooked Google SERP information and passing it straight right into a language mannequin.
This text covers the main search and fetch APIs primarily based on evaluations throughout output format, agent-native design, token effectivity, free tier generosity, latency, and framework integrations.
TinyFish
TinyFish is a crucial entrant on this house and among the many most straight agent-native of the group. Its Search and Fetch endpoints are free with beneficiant fee limits — one API key, no bank card. The free plan consists of Search at 5 requests/minute and Fetch at 25 requests/minute. Search operates at api.search.tinyfish.ai, returning rank-stable structured JSON tuned for agent retrieval slightly than human looking. TinyFish states p50 Search latency underneath 0.5 seconds — quick sufficient to take a seat inside an agent’s instrument loop with out degrading the person expertise. Fetch operates at api.fetch.tinyfish.ai, working an actual full-browser render on any URL — together with JavaScript-heavy SPAs, dynamic content material, and anti-bot pages — and returning clear markdown, JSON, or HTML. Failed URLs are free.
The token effectivity angle is the strongest differentiator. Most native fetch instruments — and the fetch constructed into LLM shoppers — return uncooked HTML: scripts, navigation, adverts, cookie banners. TinyFish Fetch strips all of that earlier than the content material reaches the mannequin, leading to decrease token consumption per web page and decrease LLM prices per name. The platform operates its personal customized Chromium fleet end-to-end with no middleware, which is what permits each the free pricing and the output high quality. Importantly, these are the identical endpoints powering manufacturing agent workloads — not a degraded demo tier. The identical API key and dashboard carry over while you outgrow the free plan; no code modifications required.
TinyFish is offered throughout each floor builders already use. Direct entry is through REST API (api.search.tinyfish.ai and api.fetch.tinyfish.ai). MCP assist is a single JSON config drop-in for Claude, Cursor, Codex, ChatGPT desktop, or any MCP-aware shopper. The CLI (npm set up -g @tiny-fish/cli) writes outcomes on to the filesystem slightly than piping by means of the mannequin’s context window, retaining token utilization low and output structured. The agent Ability (npx abilities add github.com/tinyfish-io/tinyfish-cookbook –talent tinyfish) teaches the agent when to name Search vs. Fetch and learn how to use every — one-line set up, works with Claude Code, Codex, Cursor, OpenCode, and Antigravity. Python and TypeScript SDKs are additionally accessible.
Agent harness and framework integrations embrace Claude Code, OpenClaw, Hermes Agent (Nous Analysis), Cline, Cursor, Codex, LangChain, and CrewAI. Platform integrations cowl n8n (through the n8n-nodes-tinyfish neighborhood node), Dify (TinyFish Internet Agent plugin within the Dify Market), and Vercel Abilities. ChatGPT App and MCP Apps are additionally supported.
Tavily
Tavily is a real-time search engine constructed particularly for AI brokers and RAG workflows, offering quick APIs for internet search and content material extraction. The Researcher plan is free and consists of 1,000 API credit per thirty days — sufficient for prototyping and lightweight analysis. Paid tiers scale as follows: Venture at $30/month (4,000 credit), Bootstrap at $100/month (15,000 credit), and Startup at $220/month (38,000 credit). A pay-as-you-go possibility can also be accessible at $0.008 per credit score with no month-to-month dedication. Credit reset month-to-month and don’t roll over.
Tavily is notable for its deep LangChain and LlamaIndex integrations and its pre-processing layer that returns ranked, relevance-filtered snippets slightly than uncooked SERP information. One vital growth to trace: Nebius introduced an settlement to amass Tavily in February 2026, which has raised questions amongst some groups about future pricing stability and roadmap route when evaluating long-term infrastructure dependencies. Regardless of this, Tavily stays as a quick path from zero to a working prototype and has broad LLM framework integrations.
Firecrawl
Firecrawl converts any URL into clear, LLM-ready markdown or structured JSON, and is agent-ready out of the field — connecting to any MCP shopper with a single command and supporting media parsing for web-hosted PDFs and DOCX recordsdata alongside click on, scroll, and work together actions earlier than content material extraction. It covers 4 distinct working modes: Scrape (single URL to markdown or JSON), Crawl (recursive area crawl), Map (URL discovery with out fetching content material), and an Agent endpoint for natural-language-driven information extraction.
The free plan offers 500 one-time credit, sufficient to check the API and run a proof of idea, however not a recurring manufacturing allocation. Paid plans start at $16/month (Passion, 3,000 credit/month) and scale to $83/month (Commonplace, 100,000 credit/month on annual billing). Credit don’t roll over month to month on normal plans. Firecrawl is open supply underneath AGPL-3.0, which is a significant differentiator for groups with information sovereignty necessities. Framework assist is broad: LangChain, LlamaIndex, CrewAI, Flowise, and Dify all have native integrations. The MCP server installs with npx -y firecrawl-mcp and works throughout Claude Code, Cursor, Windsurf, and VS Code.
Exa
Exa takes a basically completely different strategy to go looking. Somewhat than key phrase matching, it makes use of neural embeddings to grasp question which means which is why Cursor makes use of Exa to energy its @internet function. This makes it notably well-suited for analysis brokers, RAG programs the place semantic similarity issues greater than freshness, and pipelines that want to seek out conceptually associated paperwork throughout matter clusters slightly than the only most up-to-date consequence.
The pricing construction for Exa’s billing is sort of easy. Textual content content material and highlights at the moment are included within the base Search-with-contents request worth for as much as 10 outcomes per request, the place content material extraction was beforehand billed individually. The free tier provides as much as 1,000 requests per thirty days. Search with contents is priced at $7 per 1,000 requests. Exa ships an official MCP server supporting Claude Desktop, Claude Code, VS Code, Windsurf, and Gemini CLI.
Jina AI Reader
Jina Reader converts any URL to LLM-friendly markdown by merely prepending https://r.jina.ai/ to the URL, with internet search accessible through https://s.jina.ai/. The Reader API is free for fundamental utilization (no API key required). A secret’s solely wanted to unlock greater fee limits, and prices are then utilized primarily based on content material size slightly than per-request. New API keys embrace 10,000,000 free tokens on signup. Jina AI now operates underneath Elastic following an acquisition, and the platform has dedicated to continued growth of Reader, Embeddings, and Reranker APIs.
The utilization sample is so simple as it will get: no SDK, no configuration, only a URL prefix. The constraints are actual, nonetheless. Jina doesn’t circumvent anti-bot programs and can return an error when blocked. Jina Reader itself is just not as deeply built-in into agent frameworks similar to LangChain or LangGraph as Tavily, Firecrawl, or Exa, although Jina AI maintains integrations primarily round its embeddings and reranker merchandise. Its search endpoint (s.jina.ai) fetches the highest 5 leads to full slightly than returning configurable ranked lists.
Serper
Serper is without doubt one of the most cost-efficient choices for uncooked Google SERP information, at $1 per 1,000 queries on the Starter plan and dropping to $0.30 per 1,000 on higher-volume plans. New accounts obtain 2,500 free queries with no bank card required. It returns structured JSON together with SERP-specific objects similar to data graphs and reply containers. Serper doesn’t deal with content material extraction or web page fetching — it’s a search outcomes API solely. The sensible structure for cost-sensitive pipelines is usually Serper for search mixed with Jina Reader or TinyFish Fetch for content material retrieval.
Brave Search API
Courageous Search operates on a totally impartial index of over 40 billion pages with none Google or Bing dependency which makes it a powerful possibility for groups with privateness or compliance necessities. Courageous makes use of an impartial index and provides robust privateness controls, with Zero Information Retention accessible for enterprise prospects. It additionally ships an official MCP server supporting internet, native enterprise, picture, video, and information search.
Not too long ago, Courageous eliminated its free tier for brand new customers, changing the zero-cost plan with a credit-based billing system. New customers obtain $5 in month-to-month credit — roughly 1,000 queries — earlier than their card is charged at $5 per 1,000 requests. Current customers on the outdated free plan are grandfathered in and retain their prior entry. Courageous doesn’t provide a fetch or content material extraction endpoint — it’s a search-only supplier, finest suited to deployments the place index independence and privateness controls are laborious necessities.
Key Takeaways
- TinyFish is an general winner each for fetch and search. It’s a robust full-stack retrieval possibility for builders who want Search, Fetch, and agent-native integrations underneath one platform, with the free tier offering 500 starter credit to guage each endpoints in actual workflows.
- Tavily stays as a quick path to production-grade agent search and has the deepest LLM framework integrations within the class, although its credit score tiers compress headroom at scale.
- Exa is sort of robust for semantic retrieval and coding-agent search, the place neural matching surfaces outcomes key phrase engines miss.
- Firecrawl could possibly be a sensible choice for crawl-heavy extraction workflows and groups that need an open-source basis they’ll self-host.
- Jina Reader is the lowest-friction URL-to-markdown possibility, requiring nothing greater than a URL prefix to get began.
- Serper is cost-efficient for Google SERP information at quantity.
- Courageous is a powerful independent-index possibility for privacy-sensitive deployments, now with an official MCP server.
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